// BSD 3-Clause License
//
// Copyright (c) 2017 xxxx
// All rights reserved.
// Copyright 2021 Huawei Technologies Co., Ltd
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are met:
//
// * Redistributions of source code must retain the above copyright notice, this
//   list of conditions and the following disclaimer.
//
// * Redistributions in binary form must reproduce the above copyright notice,
//   this list of conditions and the following disclaimer in the documentation
//   and/or other materials provided with the distribution.
//
// * Neither the name of the copyright holder nor the names of its
//   contributors may be used to endorse or promote products derived from
//   this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
// DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
// FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
// DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
// SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
// CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
// OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
// OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
// ============================================================================

#include <torch/torch.h>
#include <vector>

std::vector<float*> dynamicconv_cpu_forward(
    float* input,
    float* filters,
    int padding_l);

std::vector<float*> dynamicconv_cpu_backward(
    float* gradOutput,
    int padding_l,
    float* input,
    float* filters);

std::vector<float*> dynamicconv_forward(
    float* input,
    float* filters,
    int padding_l) {

    return dynamicconv_cpu_forward(input, filters, padding_l);
}

std::vector<float*> dynamicconv_backward(
    float* gradOutput,
    int padding_l,
    float* input,
    float* filters) {

    return dynamicconv_cpu_backward(gradOutput, padding_l, input, filters);
}

PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
    m.def("forward", &dynamicconv_forward, "dynamicconv forward (CPU)");
    m.def("backward", &dynamicconv_backward, "dynamicconv backward (CPU)");
}
